| # |
| # Copyright (c) 2023 Project CHIP Authors |
| # All rights reserved. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| # See https://github.com/project-chip/connectedhomeip/blob/master/docs/testing/python.md#defining-the-ci-test-arguments |
| # for details about the block below. |
| # |
| # === BEGIN CI TEST ARGUMENTS === |
| # test-runner-runs: run1 run2 run3 run4 run5 run6 run7 run8 |
| # test-runner-run/run1/app: ${ALL_CLUSTERS_APP} |
| # test-runner-run/run1/factoryreset: True |
| # test-runner-run/run1/quiet: True |
| # test-runner-run/run1/app-args: --discriminator 1234 --KVS kvs1 --trace-to json:${TRACE_APP}.json |
| # test-runner-run/run1/script-args: --storage-path admin_storage.json --manual-code 10054912339 --PICS src/app/tests/suites/certification/ci-pics-values --trace-to json:${TRACE_TEST_JSON}.json --trace-to perfetto:${TRACE_TEST_PERFETTO}.perfetto |
| # |
| # test-runner-run/run2/app: ${CHIP_LOCK_APP} |
| # test-runner-run/run2/factoryreset: True |
| # test-runner-run/run2/quiet: True |
| # test-runner-run/run2/app-args: --discriminator 1234 --KVS kvs1 |
| # test-runner-run/run2/script-args: --storage-path admin_storage.json --manual-code 10054912339 |
| # |
| # test-runner-run/run3/app: ${CHIP_LOCK_APP} |
| # test-runner-run/run3/factoryreset: True |
| # test-runner-run/run3/quiet: True |
| # test-runner-run/run3/app-args: --discriminator 1234 --KVS kvs1 |
| # test-runner-run/run3/script-args: --storage-path admin_storage.json --qr-code MT:-24J0Q1212-10648G00 |
| # |
| # test-runner-run/run4/app: ${CHIP_LOCK_APP} |
| # test-runner-run/run4/factoryreset: True |
| # test-runner-run/run4/quiet: True |
| # test-runner-run/run4/app-args: --discriminator 1234 --KVS kvs1 |
| # test-runner-run/run4/script-args: --storage-path admin_storage.json --discriminator 1234 --passcode 20202021 |
| # |
| # test-runner-run/run5/app: ${CHIP_LOCK_APP} |
| # test-runner-run/run5/factoryreset: True |
| # test-runner-run/run5/quiet: True |
| # test-runner-run/run5/app-args: --discriminator 1234 --KVS kvs1 |
| # test-runner-run/run5/script-args: --storage-path admin_storage.json --manual-code 10054912339 --commissioning-method on-network |
| # |
| # test-runner-run/run6/app: ${CHIP_LOCK_APP} |
| # test-runner-run/run6/factoryreset: True |
| # test-runner-run/run6/quiet: True |
| # test-runner-run/run6/app-args: --discriminator 1234 --KVS kvs1 |
| # test-runner-run/run6/script-args: --storage-path admin_storage.json --qr-code MT:-24J0Q1212-10648G00 --commissioning-method on-network |
| # |
| # test-runner-run/run7/app: ${CHIP_LOCK_APP} |
| # test-runner-run/run7/factoryreset: True |
| # test-runner-run/run7/quiet: True |
| # test-runner-run/run7/app-args: --discriminator 1234 --KVS kvs1 |
| # test-runner-run/run7/script-args: --storage-path admin_storage.json --discriminator 1234 --passcode 20202021 --commissioning-method on-network |
| # |
| # test-runner-run/run8/app: ${CHIP_LOCK_APP} |
| # test-runner-run/run8/factoryreset: False |
| # test-runner-run/run8/quiet: True |
| # test-runner-run/run8/app-args: --discriminator 1234 --KVS kvs1 |
| # test-runner-run/run8/script-args: --storage-path admin_storage.json |
| # === END CI TEST ARGUMENTS === |
| |
| # Run 1: runs through all tests |
| # Run 2: tests PASE connection using manual code (12.1 only) |
| # Run 3: tests PASE connection using QR code (12.1 only) |
| # Run 4: tests PASE connection using discriminator and passcode (12.1 only) |
| # Run 5: Tests CASE connection using manual code (12.1 only) |
| # Run 6: Tests CASE connection using QR code (12.1 only) |
| # Run 7: Tests CASE connection using manual discriminator and passcode (12.1 only) |
| |
| import logging |
| from dataclasses import dataclass |
| from typing import Any, Callable |
| |
| import chip.clusters as Clusters |
| import chip.clusters.ClusterObjects |
| import chip.tlv |
| from basic_composition_support import BasicCompositionTests |
| from chip import ChipUtility |
| from chip.clusters.Attribute import ValueDecodeFailure |
| from chip.clusters.ClusterObjects import ClusterAttributeDescriptor, ClusterObjectFieldDescriptor |
| from chip.interaction_model import InteractionModelError, Status |
| from chip.tlv import uint |
| from global_attribute_ids import GlobalAttributeIds |
| from matter_testing_support import (AttributePathLocation, ClusterPathLocation, CommandPathLocation, MatterBaseTest, TestStep, |
| async_test_body, default_matter_test_main) |
| from mobly import asserts |
| from taglist_and_topology_test_support import (create_device_type_list_for_root, create_device_type_lists, find_tag_list_problems, |
| find_tree_roots, flat_list_ok, get_direct_children_of_root, parts_list_cycles, |
| separate_endpoint_types) |
| |
| |
| def check_int_in_range(min_value: int, max_value: int, allow_null: bool = False) -> Callable: |
| """Returns a checker for whether `obj` is an int that fits in a range.""" |
| def int_in_range_checker(obj: Any): |
| """Inner checker logic for check_int_in_range |
| |
| Checker validates that `obj` must have decoded as an integral value in range [min_value, max_value]. |
| |
| On failure, a ValueError is raised with a diagnostic message. |
| """ |
| if obj is None and allow_null: |
| return |
| |
| if not isinstance(obj, int) and not isinstance(obj, chip.tlv.uint): |
| raise ValueError(f"Value {str(obj)} is not an integer or uint (decoded type: {type(obj)})") |
| int_val = int(obj) |
| if (int_val < min_value) or (int_val > max_value): |
| raise ValueError( |
| f"Value {int_val} (0x{int_val:X}) not in range [{min_value}, {max_value}] ([0x{min_value:X}, 0x{max_value:X}])") |
| |
| return int_in_range_checker |
| |
| |
| def check_list_of_ints_in_range(min_value: int, max_value: int, min_size: int = 0, max_size: int = 65535, allow_null: bool = False) -> Callable: |
| """Returns a checker for whether `obj` is a list of ints that fit in a range.""" |
| def list_of_ints_in_range_checker(obj: Any): |
| """Inner checker for check_list_of_ints_in_range. |
| |
| Checker validates that `obj` must have decoded as a list of integral values in range [min_value, max_value]. |
| The length of the list must be between [min_size, max_size]. |
| |
| On failure, a ValueError is raised with a diagnostic message. |
| """ |
| if obj is None and allow_null: |
| return |
| |
| if not isinstance(obj, list): |
| raise ValueError(f"Value {str(obj)} is not a list, but a list was expected (decoded type: {type(obj)})") |
| |
| if len(obj) < min_size or len(obj) > max_size: |
| raise ValueError( |
| f"Value {str(obj)} is a list of size {len(obj)}, but expected a list with size in range [{min_size}, {max_size}]") |
| |
| for val_idx, val in enumerate(obj): |
| if not isinstance(val, int) and not isinstance(val, chip.tlv.uint): |
| raise ValueError( |
| f"At index {val_idx} in {str(obj)}, value {val} is not an int/uint, but an int/uint was expected (decoded type: {type(val)})") |
| |
| int_val = int(val) |
| if not ((int_val >= min_value) and (int_val <= max_value)): |
| raise ValueError( |
| f"At index {val_idx} in {str(obj)}, value {int_val} (0x{int_val:X}) not in range [{min_value}, {max_value}] ([0x{min_value:X}, 0x{max_value:X}])") |
| |
| return list_of_ints_in_range_checker |
| |
| |
| def check_non_empty_list_of_ints_in_range(min_value: int, max_value: int, max_size: int = 65535, allow_null: bool = False) -> Callable: |
| """Returns a checker for whether `obj` is a non-empty list of ints that fit in a range.""" |
| return check_list_of_ints_in_range(min_value, max_value, min_size=1, max_size=max_size, allow_null=allow_null) |
| |
| |
| def check_no_duplicates(obj: Any) -> None: |
| if not isinstance(obj, list): |
| raise ValueError(f"Value {str(obj)} is not a list, but a list was expected (decoded type: {type(obj)})") |
| if len(set(obj)) != len(obj): |
| raise ValueError(f"Value {str(obj)} contains duplicate values") |
| |
| |
| class TC_DeviceBasicComposition(MatterBaseTest, BasicCompositionTests): |
| @async_test_body |
| async def setup_class(self): |
| super().setup_class() |
| await self.setup_class_helper() |
| |
| # ======= START OF ACTUAL TESTS ======= |
| def test_TC_SM_1_1(self): |
| ROOT_NODE_DEVICE_TYPE = 0x16 |
| self.print_step(1, "Perform a wildcard read of attributes on all endpoints - already done") |
| self.print_step(2, "Verify that endpoint 0 exists") |
| if 0 not in self.endpoints: |
| self.record_error(self.get_test_name(), location=AttributePathLocation(endpoint_id=0), |
| problem="Did not find Endpoint 0.", spec_location="Endpoint Composition") |
| self.fail_current_test() |
| |
| self.print_step(3, "Verify that endpoint 0 descriptor cluster includes the root node device type") |
| if Clusters.Descriptor not in self.endpoints[0]: |
| self.record_error(self.get_test_name(), location=AttributePathLocation(endpoint_id=0), |
| problem="No descriptor cluster on Endpoint 0", spec_location="Root node device type") |
| self.fail_current_test() |
| |
| listed_device_types = [i.deviceType for i in self.endpoints[0] |
| [Clusters.Descriptor][Clusters.Descriptor.Attributes.DeviceTypeList]] |
| if ROOT_NODE_DEVICE_TYPE not in listed_device_types: |
| self.record_error(self.get_test_name(), location=AttributePathLocation(endpoint_id=0), |
| problem="Root node device type not listed on endpoint 0", spec_location="Root node device type") |
| self.fail_current_test() |
| |
| self.print_step(4, "Verify that the root node device type does not appear in any of the non-zero endpoints") |
| for endpoint_id, endpoint in self.endpoints.items(): |
| if endpoint_id == 0: |
| continue |
| listed_device_types = [i.deviceType for i in endpoint[Clusters.Descriptor] |
| [Clusters.Descriptor.Attributes.DeviceTypeList]] |
| if ROOT_NODE_DEVICE_TYPE in listed_device_types: |
| self.record_error(self.get_test_name(), location=AttributePathLocation(endpoint_id=endpoint_id), |
| problem=f'Root node device type listed on endpoint {endpoint_id}', spec_location="Root node device type") |
| self.fail_current_test() |
| |
| self.print_step(5, "Verify the existence of all the root node clusters on EP0") |
| root = self.endpoints[0] |
| required_clusters = [Clusters.BasicInformation, Clusters.AccessControl, Clusters.GroupKeyManagement, |
| Clusters.GeneralCommissioning, Clusters.AdministratorCommissioning, Clusters.OperationalCredentials, Clusters.GeneralDiagnostics] |
| for c in required_clusters: |
| if c not in root: |
| self.record_error(self.get_test_name(), location=AttributePathLocation(endpoint_id=0), |
| problem=f'Root node does not contain required cluster {c}', spec_location="Root node device type") |
| self.fail_current_test() |
| |
| def test_TC_DT_1_1(self): |
| self.print_step(1, "Perform a wildcard read of attributes on all endpoints - already done") |
| self.print_step(2, "Verify that each endpoint includes a descriptor cluster") |
| success = True |
| for endpoint_id, endpoint in self.endpoints.items(): |
| has_descriptor = (Clusters.Descriptor in endpoint) |
| logging.info(f"Checking descriptor on Endpoint {endpoint_id}: {'found' if has_descriptor else 'not_found'}") |
| if not has_descriptor: |
| self.record_error(self.get_test_name(), location=AttributePathLocation(endpoint_id=endpoint_id, cluster_id=Clusters.Descriptor.id), |
| problem=f"Did not find a descriptor on endpoint {endpoint_id}", spec_location="Base Cluster Requirements for Matter") |
| success = False |
| |
| if not success: |
| self.fail_current_test("At least one endpoint was missing the descriptor cluster.") |
| |
| async def _read_non_standard_attribute_check_unsupported_read(self, endpoint_id, cluster_id, attribute_id) -> bool: |
| @dataclass |
| class TempAttribute(ClusterAttributeDescriptor): |
| @ChipUtility.classproperty |
| def cluster_id(cls) -> int: |
| return cluster_id |
| |
| @ChipUtility.classproperty |
| def attribute_id(cls) -> int: |
| return attribute_id |
| |
| @ChipUtility.classproperty |
| def attribute_type(cls) -> ClusterObjectFieldDescriptor: |
| return ClusterObjectFieldDescriptor(Type=uint) |
| |
| @ChipUtility.classproperty |
| def standard_attribute(cls) -> bool: |
| return False |
| |
| value: 'uint' = 0 |
| |
| result = await self.default_controller.Read(nodeid=self.dut_node_id, attributes=[(endpoint_id, TempAttribute)]) |
| try: |
| attr_ret = result.tlvAttributes[endpoint_id][cluster_id][attribute_id] |
| except KeyError: |
| attr_ret = None |
| |
| error_type_ok = attr_ret is not None and isinstance( |
| attr_ret, Clusters.Attribute.ValueDecodeFailure) and isinstance(attr_ret.Reason, InteractionModelError) |
| |
| got_expected_error = error_type_ok and attr_ret.Reason.status == Status.UnsupportedRead |
| return got_expected_error |
| |
| @async_test_body |
| async def test_TC_IDM_10_1(self): |
| self.print_step(1, "Perform a wildcard read of attributes on all endpoints - already done") |
| |
| @dataclass |
| class RequiredMandatoryAttribute: |
| id: int |
| name: str |
| validators: list[Callable] |
| |
| ATTRIBUTES_TO_CHECK = [ |
| RequiredMandatoryAttribute(id=GlobalAttributeIds.CLUSTER_REVISION_ID, name="ClusterRevision", |
| validators=[check_int_in_range(1, 0xFFFF)]), |
| RequiredMandatoryAttribute(id=GlobalAttributeIds.FEATURE_MAP_ID, name="FeatureMap", |
| validators=[check_int_in_range(0, 0xFFFF_FFFF)]), |
| RequiredMandatoryAttribute(id=GlobalAttributeIds.ATTRIBUTE_LIST_ID, name="AttributeList", |
| validators=[check_non_empty_list_of_ints_in_range(0, 0xFFFF_FFFF), check_no_duplicates]), |
| # TODO: Check for EventList |
| # RequiredMandatoryAttribute(id=0xFFFA, name="EventList", validator=check_list_of_ints_in_range(0, 0xFFFF_FFFF)), |
| RequiredMandatoryAttribute(id=GlobalAttributeIds.ACCEPTED_COMMAND_LIST_ID, name="AcceptedCommandList", |
| validators=[check_list_of_ints_in_range(0, 0xFFFF_FFFF), check_no_duplicates]), |
| RequiredMandatoryAttribute(id=GlobalAttributeIds.GENERATED_COMMAND_LIST_ID, name="GeneratedCommandList", |
| validators=[check_list_of_ints_in_range(0, 0xFFFF_FFFF), check_no_duplicates]), |
| ] |
| |
| self.print_step(2, "Validate all global attributes are present") |
| success = True |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| for req_attribute in ATTRIBUTES_TO_CHECK: |
| attribute_string = self.cluster_mapper.get_attribute_string(cluster_id, req_attribute.id) |
| |
| has_attribute = (req_attribute.id in cluster) |
| location = AttributePathLocation(endpoint_id, cluster_id, req_attribute.id) |
| logging.debug( |
| f"Checking for mandatory global {attribute_string} on {location.as_cluster_string(self.cluster_mapper)}: {'found' if has_attribute else 'not_found'}") |
| |
| # Check attribute is actually present |
| if not has_attribute: |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Did not find mandatory global {attribute_string} on {location.as_cluster_string(self.cluster_mapper)}", spec_location="Global Elements") |
| success = False |
| continue |
| |
| self.print_step(3, "Validate the global attributes are in range and do not contain duplicates") |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| for req_attribute in ATTRIBUTES_TO_CHECK: |
| # Validate attribute value based on the provided validators. |
| for validator in req_attribute.validators: |
| try: |
| validator(cluster[req_attribute.id]) |
| except ValueError as e: |
| location = AttributePathLocation(endpoint_id, cluster_id, req_attribute.id) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Failed validation of value on {location.as_string(self.cluster_mapper)}: {str(e)}", spec_location="Global Elements") |
| success = False |
| continue |
| except KeyError: |
| # A KeyError here means the attribute does not exist. This problem was already recorded in step 2, |
| # but we don't assert until the end of the test, so ignore this and don't re-record the error. |
| continue |
| |
| self.print_step(4, "Validate the attribute list exactly matches the set of reported attributes") |
| if success: |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| attribute_list = cluster[GlobalAttributeIds.ATTRIBUTE_LIST_ID] |
| for attribute_id in attribute_list: |
| location = AttributePathLocation(endpoint_id, cluster_id, attribute_id) |
| has_attribute = attribute_id in cluster |
| |
| attribute_string = self.cluster_mapper.get_attribute_string(cluster_id, attribute_id) |
| logging.debug( |
| f"Checking presence of claimed supported {attribute_string} on {location.as_cluster_string(self.cluster_mapper)}: {'found' if has_attribute else 'not_found'}") |
| |
| if not has_attribute: |
| # Check if this is a write-only attribute by trying to read it. |
| # If it's present and write-only it should return an UNSUPPORTED_READ error. All other errors are a failure. |
| # Because these can be MEI attributes, we need to build the ClusterAttributeDescriptor manually since it's |
| # not guaranteed to be generated. Since we expect an error back anyway, the type doesn't matter. |
| |
| write_only_attribute = await self._read_non_standard_attribute_check_unsupported_read( |
| endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=attribute_id) |
| |
| if not write_only_attribute: |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Did not find {attribute_string} on {location.as_cluster_string(self.cluster_mapper)} when it was claimed in AttributeList ({attribute_list})", spec_location="AttributeList Attribute") |
| success = False |
| continue |
| |
| attribute_value = cluster[attribute_id] |
| if isinstance(attribute_value, ValueDecodeFailure): |
| self.record_warning(self.get_test_name(), location=location, |
| problem=f"Found a failure to read/decode {attribute_string} on {location.as_cluster_string(self.cluster_mapper)} when it was claimed as supported in AttributeList ({attribute_list}): {str(attribute_value)}", spec_location="AttributeList Attribute") |
| # Warn only for now |
| # TODO: Fail in the future |
| continue |
| for attribute_id in cluster: |
| if attribute_id not in attribute_list: |
| attribute_string = self.cluster_mapper.get_attribute_string(cluster_id, attribute_id) |
| location = AttributePathLocation(endpoint_id, cluster_id, attribute_id) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f'Found attribute {attribute_string} on {location.as_cluster_string(self.cluster_mapper)} not listed in attribute list', spec_location="AttributeList Attribute") |
| success = False |
| |
| self.print_step( |
| 5, "Validate that the global attributes do not contain any additional values in the standard or scoped range that are not defined by the cluster specification") |
| # Validate there are attributes in the global range that are not in the required list |
| allowed_globals = [a.id for a in ATTRIBUTES_TO_CHECK] |
| # also allow event list because it's not disallowed |
| event_list_id = 0xFFFA |
| allowed_globals.append(event_list_id) |
| global_range_min = 0x0000_F000 |
| attribute_standard_range_max = 0x000_4FFF |
| mei_range_min = 0x0001_0000 |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| globals = [a for a in cluster[GlobalAttributeIds.ATTRIBUTE_LIST_ID] if a >= global_range_min and a < mei_range_min] |
| unexpected_globals = sorted(list(set(globals) - set(allowed_globals))) |
| for unexpected in unexpected_globals: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=unexpected) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Unexpected global attribute {unexpected} in cluster {cluster_id}", spec_location="Global elements") |
| success = False |
| |
| # validate that all the returned attributes in the standard clusters contain only known attribute ids |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| if cluster_id not in chip.clusters.ClusterObjects.ALL_ATTRIBUTES: |
| # Skip clusters that are not part of the standard generated corpus (e.g. MS clusters) |
| continue |
| standard_attributes = [a for a in cluster[GlobalAttributeIds.ATTRIBUTE_LIST_ID] |
| if a <= attribute_standard_range_max] |
| allowed_standard_attributes = chip.clusters.ClusterObjects.ALL_ATTRIBUTES[cluster_id] |
| unexpected_standard_attributes = sorted(list(set(standard_attributes) - set(allowed_standard_attributes))) |
| for unexpected in unexpected_standard_attributes: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=unexpected) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Unexpected standard attribute {unexpected} in cluster {cluster_id}", spec_location=f"Cluster {cluster_id}") |
| success = False |
| |
| # validate there are no attributes in the range between standard and global |
| # This is de-facto already covered in the check above, assuming the spec hasn't defined any values in this range, but we should make sure |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| bad_range_values = [a for a in cluster[GlobalAttributeIds.ATTRIBUTE_LIST_ID] if a > |
| attribute_standard_range_max and a < global_range_min] |
| for bad in bad_range_values: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=bad) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Attribute in undefined range {bad} in cluster {cluster_id}", spec_location=f"Cluster {cluster_id}") |
| success = False |
| |
| command_standard_range_max = 0x0000_00FF |
| # Command lists only have a scoped range, so we only need to check for known command ids, no global range check |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| if cluster_id not in chip.clusters.ClusterObjects.ALL_CLUSTERS: |
| continue |
| standard_accepted_commands = [ |
| a for a in cluster[GlobalAttributeIds.ACCEPTED_COMMAND_LIST_ID] if a <= command_standard_range_max] |
| standard_generated_commands = [ |
| a for a in cluster[GlobalAttributeIds.GENERATED_COMMAND_LIST_ID] if a <= command_standard_range_max] |
| if cluster_id in chip.clusters.ClusterObjects.ALL_ACCEPTED_COMMANDS: |
| allowed_accepted_commands = [a for a in chip.clusters.ClusterObjects.ALL_ACCEPTED_COMMANDS[cluster_id]] |
| else: |
| allowed_accepted_commands = [] |
| if cluster_id in chip.clusters.ClusterObjects.ALL_GENERATED_COMMANDS: |
| allowed_generated_commands = [a for a in chip.clusters.ClusterObjects.ALL_GENERATED_COMMANDS[cluster_id]] |
| else: |
| allowed_generated_commands = [] |
| |
| # Compare the set of commands in the standard range that the DUT says it accepts vs. the commands we know about. |
| unexpected_accepted_commands = sorted(list(set(standard_accepted_commands) - set(allowed_accepted_commands))) |
| unexpected_generated_commands = sorted(list(set(standard_generated_commands) - set(allowed_generated_commands))) |
| |
| for unexpected in unexpected_accepted_commands: |
| location = CommandPathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, command_id=unexpected) |
| self.record_error(self.get_test_name( |
| ), location=location, problem=f'Unexpected accepted command {unexpected} in cluster {cluster_id} allowed: {allowed_accepted_commands} listed: {standard_accepted_commands}', spec_location=f'Cluster {cluster_id}') |
| success = False |
| |
| for unexpected in unexpected_generated_commands: |
| location = CommandPathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, command_id=unexpected) |
| self.record_error(self.get_test_name( |
| ), location=location, problem=f'Unexpected generated command {unexpected} in cluster {cluster_id} allowed: {allowed_generated_commands} listed: {standard_generated_commands}', spec_location=f'Cluster {cluster_id}') |
| success = False |
| |
| self.print_step( |
| 6, "Validate that none of the global attribute IDs contain values with prefixes outside of the allowed standard or MEI prefix range") |
| if self.is_pics_sdk_ci_only: |
| # test vendor prefixes are allowed in the CI because we use them internally in examples |
| bad_prefix_min = 0xFFF5_0000 |
| else: |
| # test vendor prefixes are not allowed in products |
| bad_prefix_min = 0xFFF1_0000 |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| attr_prefixes = [a & 0xFFFF_0000 for a in cluster[GlobalAttributeIds.ATTRIBUTE_LIST_ID]] |
| cmd_values = cluster[GlobalAttributeIds.ACCEPTED_COMMAND_LIST_ID] + \ |
| cluster[GlobalAttributeIds.GENERATED_COMMAND_LIST_ID] |
| cmd_prefixes = [a & 0xFFFF_0000 for a in cmd_values] |
| bad_attrs = [a for a in attr_prefixes if a >= bad_prefix_min] |
| bad_cmds = [a for a in cmd_prefixes if a >= bad_prefix_min] |
| for bad in bad_attrs: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=bad) |
| self.record_error(self.get_test_name( |
| ), location=location, problem=f'Attribute with bad prefix {attribute_id} in cluster {cluster_id}', spec_location='Manufacturer Extensible Identifier (MEI)') |
| success = False |
| for bad in bad_cmds: |
| location = CommandPathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, command_id=bad) |
| self.record_error(self.get_test_name( |
| ), location=location, problem=f'Command with bad prefix {attribute_id} in cluster {cluster_id}', spec_location='Manufacturer Extensible Identifier (MEI)') |
| success = False |
| |
| self.print_step(7, "Validate that none of the MEI global attribute IDs contain values outside of the allowed suffix range") |
| # Validate that any attribute in the manufacturer prefix range is in the standard suffix range. |
| suffix_mask = 0x0000_FFFF |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| manufacturer_range_values = [a for a in cluster[GlobalAttributeIds.ATTRIBUTE_LIST_ID] if a > mei_range_min] |
| for manufacturer_value in manufacturer_range_values: |
| suffix = manufacturer_value & suffix_mask |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, |
| attribute_id=manufacturer_value) |
| if suffix > attribute_standard_range_max and suffix < global_range_min: |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Manufacturer attribute in undefined range {manufacturer_value} in cluster {cluster_id}", |
| spec_location=f"Cluster {cluster_id}") |
| success = False |
| elif suffix >= global_range_min: |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Manufacturer attribute in global range {manufacturer_value} in cluster {cluster_id}", |
| spec_location=f"Cluster {cluster_id}") |
| success = False |
| |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| accepted_manufacturer_range_values = [ |
| a for a in cluster[GlobalAttributeIds.ACCEPTED_COMMAND_LIST_ID] if a > mei_range_min] |
| generated_manufacturer_range_values = [ |
| a for a in cluster[GlobalAttributeIds.GENERATED_COMMAND_LIST_ID] if a > mei_range_min] |
| all_command_manufacturer_range_values = accepted_manufacturer_range_values + generated_manufacturer_range_values |
| for manufacturer_value in all_command_manufacturer_range_values: |
| suffix = manufacturer_value & suffix_mask |
| location = CommandPathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, command_id=manufacturer_value) |
| if suffix > command_standard_range_max: |
| self.record_error(self.get_test_name( |
| ), location=location, problem=f'Manufacturer command in the undefined suffix range {manufacturer_value} in cluster {cluster_id}', spec_location='Manufacturer Extensible Identifier (MEI)') |
| success = False |
| |
| self.print_step(8, "Validate that all cluster ID prefixes are in the standard or MEI range") |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| cluster_prefixes = [a & 0xFFFF_0000 for a in endpoint.keys()] |
| bad_clusters_ids = [a for a in cluster_prefixes if a >= bad_prefix_min] |
| for bad in bad_clusters_ids: |
| location = ClusterPathLocation(endpoint_id=endpoint_id, cluster_id=bad) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f'Bad cluster id prefix {bad}', spec_location='Manufacturer Extensible Identifier (MEI)') |
| success = False |
| |
| self.print_step(9, "Validate that all clusters in the standard range have a known cluster ID") |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| standard_clusters = [a for a in endpoint.keys() if a < mei_range_min] |
| unknown_clusters = sorted(list(set(standard_clusters) - set(chip.clusters.ClusterObjects.ALL_CLUSTERS))) |
| for bad in unknown_clusters: |
| location = ClusterPathLocation(endpoint_id=endpoint_id, cluster_id=bad) |
| self.record_error(self.get_test_name( |
| ), location=location, problem=f'Unknown cluster ID in the standard range {bad}', spec_location='Manufacturer Extensible Identifier (MEI)') |
| success = False |
| |
| self.print_step(10, "Validate that all clusters in the MEI range have a suffix in the manufacturer suffix range") |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| mei_clusters = [a for a in endpoint.keys() if a >= mei_range_min] |
| bad_clusters = [a for a in mei_clusters if ((a & 0x0000_FFFF) < 0xFC00) or ((a & 0x0000_FFFF) > 0xFFFE)] |
| for bad in bad_clusters: |
| location = ClusterPathLocation(endpoint_id=endpoint_id, cluster_id=bad) |
| self.record_error(self.get_test_name( |
| ), location=location, problem=f'MEI cluster with an out of range suffix {bad}', spec_location='Manufacturer Extensible Identifier (MEI)') |
| success = False |
| |
| self.print_step(11, "Validate that standard cluster FeatureMap attributes contains only known feature flags") |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| if cluster_id not in chip.clusters.ClusterObjects.ALL_CLUSTERS: |
| continue |
| feature_map = cluster[GlobalAttributeIds.FEATURE_MAP_ID] |
| feature_mask = 0 |
| try: |
| feature_map_enum = chip.clusters.ClusterObjects.ALL_CLUSTERS[cluster_id].Bitmaps.Feature |
| for f in feature_map_enum: |
| feature_mask = feature_mask | f |
| except AttributeError: |
| # If there is no feature bitmap, feature mask 0 is correct |
| pass |
| feature_map_extras = feature_map & ~feature_mask |
| if feature_map_extras != 0: |
| location = ClusterPathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f'Standard cluster {cluster_id} with unkonwn feature {feature_map_extras:02x}') |
| success = False |
| |
| if not success: |
| self.fail_current_test( |
| "At least one cluster has failed the range and support checks for its listed attributes, commands or features") |
| |
| def test_TC_IDM_11_1(self): |
| success = True |
| for endpoint_id, endpoint in self.endpoints_tlv.items(): |
| for cluster_id, cluster in endpoint.items(): |
| for attribute_id, attribute in cluster.items(): |
| if cluster_id not in Clusters.ClusterObjects.ALL_ATTRIBUTES or attribute_id not in Clusters.ClusterObjects.ALL_ATTRIBUTES[cluster_id]: |
| continue |
| if Clusters.ClusterObjects.ALL_ATTRIBUTES[cluster_id][attribute_id].attribute_type.Type is not str: |
| continue |
| try: |
| cluster[attribute_id].encode('utf-8', errors='strict') |
| except UnicodeError: |
| location = AttributePathLocation(endpoint_id, cluster_id, attribute_id) |
| attribute_string = self.cluster_mapper.get_attribute_string(cluster_id, attribute_id) |
| self.record_error(self.get_test_name( |
| ), location=location, problem=f'Attribute {attribute_string} on {location.as_cluster_string(self.cluster_mapper)} is invalid UTF-8', spec_location="Data types - Character String") |
| success = False |
| if not success: |
| self.fail_current_test("At least one attribute string was not valid UTF-8") |
| |
| def test_all_event_strings_valid(self): |
| asserts.skip("TODO: Validate every string in the read events is valid UTF-8 and has no nulls") |
| |
| def test_all_schema_scalars(self): |
| asserts.skip("TODO: Validate all int/uint are in range of the schema (or null if nullable) for known attributes") |
| |
| def test_all_commands_reported_are_executable(self): |
| asserts.skip("TODO: Validate all commands reported in AcceptedCommandList are actually executable") |
| |
| def test_dump_all_pics_for_all_endpoints(self): |
| asserts.skip("TODO: Make a test that generates the basic PICS list for each endpoint based on actually reported contents") |
| |
| def test_all_schema_mandatory_elements_present(self): |
| asserts.skip( |
| "TODO: Make a test that ensures every known cluster has the mandatory elements present (commands, attributes) based on features") |
| |
| def test_all_endpoints_have_valid_composition(self): |
| asserts.skip( |
| "TODO: Make a test that verifies each endpoint has valid set of device types, and that the device type conformance is respected for each") |
| |
| def test_TC_SM_1_2(self): |
| self.print_step(1, "Wildcard read of device - already done") |
| |
| self.print_step(2, "Verify the Descriptor cluster PartsList on endpoint 0 exactly lists all the other (non-0) endpoints on the DUT") |
| parts_list_0 = self.endpoints[0][Clusters.Descriptor][Clusters.Descriptor.Attributes.PartsList] |
| cluster_id = Clusters.Descriptor.id |
| attribute_id = Clusters.Descriptor.Attributes.PartsList.attribute_id |
| location = AttributePathLocation(endpoint_id=0, cluster_id=cluster_id, attribute_id=attribute_id) |
| if len(self.endpoints.keys()) != len(set(self.endpoints.keys())): |
| self.record_error(self.get_test_name(), location=location, |
| problem='duplicate endpoint ids found in the returned data', spec_location="PartsList Attribute") |
| self.fail_current_test() |
| |
| if len(parts_list_0) != len(set(parts_list_0)): |
| self.record_error(self.get_test_name(), location=location, |
| problem='Duplicate endpoint ids found in the parts list on ep0', spec_location="PartsList Attribute") |
| self.fail_current_test() |
| |
| expected_parts = set(self.endpoints.keys()) |
| expected_parts.remove(0) |
| if set(parts_list_0) != expected_parts: |
| self.record_error(self.get_test_name(), location=location, |
| problem='EP0 Descriptor parts list does not match the set of returned endpoints', spec_location="PartsList Attribute") |
| self.fail_current_test() |
| |
| self.print_step( |
| 3, "For each endpoint on the DUT (including EP 0), verify the PartsList in the Descriptor cluster on that endpoint does not include itself") |
| for endpoint_id, endpoint in self.endpoints.items(): |
| if endpoint_id in endpoint[Clusters.Descriptor][Clusters.Descriptor.Attributes.PartsList]: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=attribute_id) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Endpoint {endpoint_id} parts list includes itself", spec_location="PartsList Attribute") |
| self.fail_current_test() |
| |
| self.print_step(4, "Separate endpoints into flat and tree style") |
| flat, tree = separate_endpoint_types(self.endpoints) |
| |
| self.print_step(5, "Check for cycles in the tree endpoints") |
| cycles = parts_list_cycles(tree, self.endpoints) |
| if len(cycles) != 0: |
| for id in cycles: |
| location = AttributePathLocation(endpoint_id=id, cluster_id=cluster_id, attribute_id=attribute_id) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f"Endpoint {id} parts list includes a cycle", spec_location="PartsList Attribute") |
| self.fail_current_test() |
| |
| self.print_step(6, "Check flat lists include all sub ids") |
| ok = True |
| for endpoint_id in flat: |
| # ensure that every sub-id in the parts list is included in the parent |
| if not flat_list_ok(endpoint_id, self.endpoints): |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=attribute_id) |
| self.record_error(self.get_test_name(), location=location, |
| problem='Flat parts list does not exactly match sub-parts', spec_location='Endpoint composition') |
| ok = False |
| if not ok: |
| self.fail_current_test() |
| |
| def test_TC_PS_3_1(self): |
| BRIDGED_NODE_DEVICE_TYPE_ID = 0x13 |
| success = True |
| self.print_step(1, "Wildcard read of device - already done") |
| |
| self.print_step(2, "Verify that all endpoints listed in the EndpointList are valid") |
| attribute_id = Clusters.PowerSource.Attributes.EndpointList.attribute_id |
| cluster_id = Clusters.PowerSource.id |
| attribute_string = self.cluster_mapper.get_attribute_string(cluster_id, attribute_id) |
| for endpoint_id, endpoint in self.endpoints.items(): |
| if Clusters.PowerSource not in endpoint: |
| continue |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=attribute_id) |
| cluster_revision = Clusters.PowerSource.Attributes.ClusterRevision |
| if cluster_revision not in endpoint[Clusters.PowerSource]: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, |
| attribute_id=cluster_revision.attribute_id) |
| self.record_error(self.get_test_name( |
| ), location=location, problem=f'Did not find Cluster revision on {location.as_cluster_string(self.cluster_mapper)}', spec_location='Global attributes') |
| if endpoint[Clusters.PowerSource][cluster_revision] < 2: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, |
| attribute_id=cluster_revision.attribute_id) |
| self.record_note(self.get_test_name(), location=location, |
| problem='Power source ClusterRevision is < 2, skipping remainder of test for this endpoint') |
| continue |
| if Clusters.PowerSource.Attributes.EndpointList not in endpoint[Clusters.PowerSource]: |
| self.record_error(self.get_test_name(), location=location, |
| problem=f'Did not find {attribute_string} on {location.as_cluster_string(self.cluster_mapper)}', spec_location="EndpointList Attribute") |
| success = False |
| continue |
| |
| endpoint_list = endpoint[Clusters.PowerSource][Clusters.PowerSource.Attributes.EndpointList] |
| non_existent = set(endpoint_list) - set(self.endpoints.keys()) |
| if non_existent: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=attribute_id) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f'{attribute_string} lists a non-existent endpoint', spec_location="EndpointList Attribute") |
| success = False |
| |
| self.print_step(3, "Verify that all Bridged Node endpoint lists are correct") |
| device_types = {} |
| parts_list = {} |
| for endpoint_id, endpoint in self.endpoints.items(): |
| if Clusters.PowerSource not in endpoint or Clusters.PowerSource.Attributes.EndpointList not in endpoint[Clusters.PowerSource]: |
| continue |
| |
| def GetPartValidityProblem(endpoint): |
| if Clusters.Descriptor not in endpoint: |
| return "Missing cluster descriptor" |
| if Clusters.Descriptor.Attributes.PartsList not in endpoint[Clusters.Descriptor]: |
| return "Missing PartList in descriptor cluster" |
| if Clusters.Descriptor.Attributes.DeviceTypeList not in endpoint[Clusters.Descriptor]: |
| return "Missing DeviceTypeList in descriptor cluster" |
| return None |
| |
| problem = GetPartValidityProblem(endpoint) |
| if problem: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=Clusters.Descriptor.id, |
| attribute_id=Clusters.Descriptor.Attributes.PartsList.id) |
| self.record_error(self.get_test_name(), location=location, |
| problem=problem, spec_location="PartsList Attribute") |
| success = False |
| continue |
| |
| device_types[endpoint_id] = [i.deviceType for i in endpoint[Clusters.Descriptor] |
| [Clusters.Descriptor.Attributes.DeviceTypeList]] |
| parts_list[endpoint_id] = endpoint[Clusters.Descriptor][Clusters.Descriptor.Attributes.PartsList] |
| |
| bridged_nodes = [id for (id, dev_type) in device_types.items() if BRIDGED_NODE_DEVICE_TYPE_ID in dev_type] |
| |
| for endpoint_id in bridged_nodes: |
| if Clusters.PowerSource not in self.endpoints[endpoint_id]: |
| continue |
| # using a list because we do want to preserve duplicates and error on those. |
| desired_endpoint_list = parts_list[endpoint_id].copy() |
| desired_endpoint_list.append(endpoint_id) |
| desired_endpoint_list.sort() |
| ep_list = self.endpoints[endpoint_id][Clusters.PowerSource][Clusters.PowerSource.Attributes.EndpointList] |
| ep_list.sort() |
| if ep_list != desired_endpoint_list: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=attribute_id) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f'Power source EndpointList on bridged node endpoint {endpoint_id} is not as expected. Desired: {desired_endpoint_list} Actual: {ep_list}', spec_location="EndpointList Attribute") |
| success = False |
| |
| self.print_step(4, "Verify that all Bridged Node children endpoint lists are correct") |
| children = [] |
| # note, this doesn't handle the full tree structure, single layer only |
| for endpoint_id in bridged_nodes: |
| children = children + parts_list[endpoint_id] |
| |
| for endpoint_id in children: |
| if Clusters.PowerSource not in self.endpoints[endpoint_id]: |
| continue |
| desired_endpoint_list = [endpoint_id] |
| ep_list = self.endpoints[endpoint_id][Clusters.PowerSource][Clusters.PowerSource.Attributes.EndpointList] |
| ep_list.sort() |
| if ep_list != desired_endpoint_list: |
| location = AttributePathLocation(endpoint_id=endpoint_id, cluster_id=cluster_id, attribute_id=attribute_id) |
| self.record_error(self.get_test_name(), location=location, |
| problem=f'Power source EndpointList on bridged child endpoint {endpoint_id} is not as expected. Desired: {desired_endpoint_list} Actual: {ep_list}', spec_location="EndpointList Attribute") |
| success = False |
| |
| if not success: |
| self.fail_current_test("power source EndpointList attribute is incorrect") |
| |
| def test_TC_DESC_2_2(self): |
| self.print_step(0, "Wildcard read of device - already done") |
| |
| self.print_step( |
| 1, "Identify all endpoints that are roots of a tree-composition. Omit any endpoints that include the Content App device type.") |
| _, tree = separate_endpoint_types(self.endpoints) |
| roots = find_tree_roots(tree, self.endpoints) |
| |
| self.print_step( |
| 1.1, "For each tree root, go through each of the children and add their endpoint IDs to a list of device types based on the DeviceTypes list") |
| device_types = create_device_type_lists(roots, self.endpoints) |
| |
| self.print_step( |
| 1.2, "For device types with more than one endpoint listed, ensure each of the listed endpoints has a tag attribute and the tag attributes are not the same") |
| problems = find_tag_list_problems(roots, device_types, self.endpoints) |
| |
| for ep, problem in problems.items(): |
| location = AttributePathLocation(endpoint_id=ep, cluster_id=Clusters.Descriptor.id, |
| attribute_id=Clusters.Descriptor.Attributes.TagList.attribute_id) |
| msg = f'problem on ep {ep}: missing feature = {problem.missing_feature}, missing attribute = {problem.missing_attribute}, duplicates = {problem.duplicates}, same_tags = {problem.same_tag}' |
| self.record_error(self.get_test_name(), location=location, problem=msg, spec_location="Descriptor TagList") |
| |
| self.print_step(2, "Identify all the direct children of the root node endpoint") |
| root_direct_children = get_direct_children_of_root(self.endpoints) |
| self.print_step( |
| 2.1, "Go through each of the direct children of the root node and add their endpoint IDs to a list of device types based on the DeviceTypes list") |
| device_types = create_device_type_list_for_root(root_direct_children, self.endpoints) |
| self.print_step( |
| 2.2, "For device types with more than one endpoint listed, ensure each of the listed endpoints has a tag attribute and the tag attributes are not the same") |
| root_problems = find_tag_list_problems([0], {0: device_types}, self.endpoints) |
| |
| if problems or root_problems: |
| self.fail_current_test("Problems with tags lists") |
| |
| def steps_TC_IDM_12_1(self): |
| return [TestStep(0, "TH performs a wildcard read of all attributes and endpoints on the device"), |
| TestStep(1, "TH creates a MatterTlvJson dump of the wildcard attributes for submission to certification.")] |
| |
| def test_TC_IDM_12_1(self): |
| # wildcard read - already done. |
| self.step(0) |
| |
| # Create the dump |
| self.step(1) |
| pid = self.endpoints[0][Clusters.BasicInformation][Clusters.BasicInformation.Attributes.ProductID] |
| vid = self.endpoints[0][Clusters.BasicInformation][Clusters.BasicInformation.Attributes.VendorID] |
| software_version = self.endpoints[0][Clusters.BasicInformation][Clusters.BasicInformation.Attributes.SoftwareVersion] |
| filename = f'device_dump_0x{vid:04X}_0x{pid:04X}_{software_version}.json' |
| dump_device_composition_path = self.user_params.get("dump_device_composition_path", filename) |
| json_str, txt_str = self.dump_wildcard(dump_device_composition_path) |
| |
| # Structured dump so we can pull these back out of the logs |
| def log_structured_data(start_tag: str, dump_string): |
| lines = dump_string.splitlines() |
| logging.info(f'{start_tag}BEGIN ({len(lines)} lines)====') |
| for line in lines: |
| logging.info(f'{start_tag}{line}') |
| logging.info(f'{start_tag}END ====') |
| |
| log_structured_data('==== json: ', json_str) |
| log_structured_data('==== txt: ', txt_str) |
| |
| |
| if __name__ == "__main__": |
| default_matter_test_main() |
